Today, Amazon announces the expansion of Amazon Nova creative models, including Amazon Nova Canvas and Amazon Nova Reel, to Europe (Dublin). These models are designed to generate high-quality images and videos from text and image inputs, providing customizable visual content for various applications. This expansion addresses the growing demand for automated, high-quality visual content generation, benefiting marketers, content creators, and developers who need efficient solutions for producing engaging media.

Amazon Nova creative models offer built-in controls to enable the safe and responsible use of AI, including watermarking for traceability, content moderation, and indemnification. Customers can now leverage these advanced capabilities to create compelling visuals that enhance their digital presence and user engagement.

To learn more about Amazon Nova creative models, see the Amazon Nova creative models and learn about Amazon Nova creative models responsible use of AI. To get started with Amazon Nova on Amazon Bedrock, visit the Amazon Bedrock console.
 

 

​Today, Amazon announces the expansion of Amazon Nova creative models, including Amazon Nova Canvas and Amazon Nova Reel, to Europe (Dublin). These models are designed to generate high-quality images and videos from text and image inputs, providing customizable visual content for various applications. This expansion addresses the growing demand for automated, high-quality visual content generation, benefiting marketers, content creators, and developers who need efficient solutions for producing engaging media. Amazon Nova creative models offer built-in controls to enable the safe and responsible use of AI, including watermarking for traceability, content moderation, and indemnification. Customers can now leverage these advanced capabilities to create compelling visuals that enhance their digital presence and user engagement. To learn more about Amazon Nova creative models, see the Amazon Nova creative models and learn about Amazon Nova creative models responsible use of AI. To get started with Amazon Nova on Amazon Bedrock, visit the Amazon Bedrock console.    

Allowed AMIs, an account-wide Amazon EC2 setting that enables you to limit the discovery and use of Amazon Machine Images (AMIs) within your AWS accounts, now integrates with AWS Config. You can now use AWS Config rules to automatically monitor, detect, and report instances launched using AMIs that have not been allowed by Allowed AMIs.

Prior to today, you had to create custom scripts to monitor instance launches and assess the impact of enabling Allowed AMIs. Now with the integration of Allowed AMIs with AWS Config, you can track and detect non-compliant instances using the new AWS Config rule. By leveraging this rule in conjunction with the audit-mode functionality of Allowed AMIs, you can gain valuable insights into your instance launch patterns and identify any potential issues before enforcing stricter controls. This rule scans existing instances and monitors new instance launches, flagging instances launched with unapproved AMIs. This capability enables you to proactively identify and remediate violations before enabling Allowed AMIs in your accounts, simplifying governance across your AWS environment.

By default, this rule is disabled for all AWS accounts. You can enable it by using the AWS CLI, SDKs, or Console. To learn more, please visit our documentation.

 

​Allowed AMIs, an account-wide Amazon EC2 setting that enables you to limit the discovery and use of Amazon Machine Images (AMIs) within your AWS accounts, now integrates with AWS Config. You can now use AWS Config rules to automatically monitor, detect, and report instances launched using AMIs that have not been allowed by Allowed AMIs. Prior to today, you had to create custom scripts to monitor instance launches and assess the impact of enabling Allowed AMIs. Now with the integration of Allowed AMIs with AWS Config, you can track and detect non-compliant instances using the new AWS Config rule. By leveraging this rule in conjunction with the audit-mode functionality of Allowed AMIs, you can gain valuable insights into your instance launch patterns and identify any potential issues before enforcing stricter controls. This rule scans existing instances and monitors new instance launches, flagging instances launched with unapproved AMIs. This capability enables you to proactively identify and remediate violations before enabling Allowed AMIs in your accounts, simplifying governance across your AWS environment. By default, this rule is disabled for all AWS accounts. You can enable it by using the AWS CLI, SDKs, or Console. To learn more, please visit our documentation.  

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R7i instances are available in Asia Pacific (Osaka) Region.

Amazon EC2 R7i instances are powered by custom 4th Generation Intel Xeon Scalable processors (code-named Sapphire Rapids), available only on AWS, offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers.

R7i instances deliver up to 15% better price-performance versus R6i instances. These instances are SAP certified and are a great choice for memory-intensive workloads, such as SAP, SQL and NoSQL databases, distributed web scale in-memory caches, in-memory databases like SAP HANA, and real time big data analytics like Hadoop and Spark. They offer larger instance sizes, up to 48xlarge, and two bare metal sizes (metal-24xl, metal-48xl) for high-transaction and latency-sensitive workloads. These bare-metal sizes support built-in Intel accelerators: Data Streaming Accelerator, In-Memory Analytics Accelerator, and QuickAssist Technology, allowing customers to facilitate efficient offload and acceleration of data operations, and optimize performance for workloads.

R7i instances support the new Intel Advanced Matrix Extensions (AMX) that accelerate matrix multiplication operations for applications such as CPU-based ML. In addition, customers can now attach up to 128 EBS volumes to an R7i instance (vs 28 EBS volume attachments on R6i). This allows processing of larger amounts of data, scale workloads, and improve performance over R6i instances.

To learn more, visit Amazon EC2 R7i Instances.

 

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R7i instances are available in Asia Pacific (Osaka) Region. Amazon EC2 R7i instances are powered by custom 4th Generation Intel Xeon Scalable processors (code-named Sapphire Rapids), available only on AWS, offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers. R7i instances deliver up to 15% better price-performance versus R6i instances. These instances are SAP certified and are a great choice for memory-intensive workloads, such as SAP, SQL and NoSQL databases, distributed web scale in-memory caches, in-memory databases like SAP HANA, and real time big data analytics like Hadoop and Spark. They offer larger instance sizes, up to 48xlarge, and two bare metal sizes (metal-24xl, metal-48xl) for high-transaction and latency-sensitive workloads. These bare-metal sizes support built-in Intel accelerators: Data Streaming Accelerator, In-Memory Analytics Accelerator, and QuickAssist Technology, allowing customers to facilitate efficient offload and acceleration of data operations, and optimize performance for workloads. R7i instances support the new Intel Advanced Matrix Extensions (AMX) that accelerate matrix multiplication operations for applications such as CPU-based ML. In addition, customers can now attach up to 128 EBS volumes to an R7i instance (vs 28 EBS volume attachments on R6i). This allows processing of larger amounts of data, scale workloads, and improve performance over R6i instances. To learn more, visit Amazon EC2 R7i Instances.  

AWS makes it easier for developers to build serverless applications by bringing Serverless Land’s extensive application pattern library directly into the Visual Studio Code (VS Code) IDE. This integration eliminates the need to switch between your development environment and external resources when building serverless architectures by enabling you to browse, search, and implement pre-built serverless patterns directly in VS Code IDE. This new feature simplifies and accelerates the process of building serverless applications using VS Code IDE.

Serverless Land provides hundreds of curated serverless application patterns covering popular use cases across AWS services like AWS Lambda, Amazon Simple Queue Service (SQS), Amazon API Gateway, AWS Step Functions, Amazon EventBridge, and many more. With Serverless Land integration in VS Code IDE, you can now use familiar VS Code interface to search and filter application patterns based on AWS services, Infrastructure as Code (IaC) frameworks, and language runtime requirements. When you find a pattern that matches your use case, you can preview the implementation details and download the pattern code directly to your workspace using the Quick Pick functionality of VS Code. This integration ensures that you now have easy access to reliable serverless application patterns which are regularly updated and align with AWS best practices, enhancing your serverless development experience.

The Serverless Land patterns are now available to all developers with the AWS Toolkit (v3.48.0 or later) installed on their VS Code IDE. To learn more about this experience and how to get started, visit the AWS Toolkit developer guide. To learn more about Serverless Land patterns, visit ServerlessLand.com.

 

​AWS makes it easier for developers to build serverless applications by bringing Serverless Land’s extensive application pattern library directly into the Visual Studio Code (VS Code) IDE. This integration eliminates the need to switch between your development environment and external resources when building serverless architectures by enabling you to browse, search, and implement pre-built serverless patterns directly in VS Code IDE. This new feature simplifies and accelerates the process of building serverless applications using VS Code IDE. Serverless Land provides hundreds of curated serverless application patterns covering popular use cases across AWS services like AWS Lambda, Amazon Simple Queue Service (SQS), Amazon API Gateway, AWS Step Functions, Amazon EventBridge, and many more. With Serverless Land integration in VS Code IDE, you can now use familiar VS Code interface to search and filter application patterns based on AWS services, Infrastructure as Code (IaC) frameworks, and language runtime requirements. When you find a pattern that matches your use case, you can preview the implementation details and download the pattern code directly to your workspace using the Quick Pick functionality of VS Code. This integration ensures that you now have easy access to reliable serverless application patterns which are regularly updated and align with AWS best practices, enhancing your serverless development experience. The Serverless Land patterns are now available to all developers with the AWS Toolkit (v3.48.0 or later) installed on their VS Code IDE. To learn more about this experience and how to get started, visit the AWS Toolkit developer guide. To learn more about Serverless Land patterns, visit ServerlessLand.com.  

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The post Microsoft celebra 50 años appeared first on Source LATAM.

 

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Amazon EventBridge expands execution role support to AWS Lambda, Amazon SNS, and Amazon SQS event bus targets, making this feature available for all target types. We recommend configuring execution roles for all your EventBridge targets to benefit from consistent permissions policies and dedicated invocation throttle limits.

Amazon EventBridge Event Bus is a serverless event broker that enables you to create scalable event-driven applications by routing events between your own applications, third-party SaaS applications, and other AWS services. An execution role is an AWS Identity and Access Management (IAM) role that EventBridge assumes when invoking a target, giving you fine-grained control over which AWS services and resources EventBridge can access. The expansion to Lambda, SNS, and SQS targets allows consistent permissions across all EventBridge targets, enables setting permissions for multiple targets within a single IAM policy, and can help manage throughput by using your account-specific limits.

This feature is available in all AWS Regions, including AWS GovCloud (US). To learn more, please visit our documentation or get started in the AWS Management Console.

 

​Amazon EventBridge expands execution role support to AWS Lambda, Amazon SNS, and Amazon SQS event bus targets, making this feature available for all target types. We recommend configuring execution roles for all your EventBridge targets to benefit from consistent permissions policies and dedicated invocation throttle limits. Amazon EventBridge Event Bus is a serverless event broker that enables you to create scalable event-driven applications by routing events between your own applications, third-party SaaS applications, and other AWS services. An execution role is an AWS Identity and Access Management (IAM) role that EventBridge assumes when invoking a target, giving you fine-grained control over which AWS services and resources EventBridge can access. The expansion to Lambda, SNS, and SQS targets allows consistent permissions across all EventBridge targets, enables setting permissions for multiple targets within a single IAM policy, and can help manage throughput by using your account-specific limits. This feature is available in all AWS Regions, including AWS GovCloud (US). To learn more, please visit our documentation or get started in the AWS Management Console.  

Amazon EventBridge now supports Software-as-a-Service (SaaS) partner integrations in the AWS GovCloud (US) Regions, enabling government customers and organizations in regulated industries to build event-driven architectures that connect their AWS applications with supported third-party SaaS partners. With EventBridge partner integrations, customers can receive events from supported SaaS providers without writing custom code for API integration.

Amazon EventBridge Event Bus is a serverless event router that enables you to create highly scalable event-driven applications by routing events between your own applications, third-party SaaS applications, and other AWS services. You can set up routing rules to determine where to send your events, allowing your application to react to changes in your systems as they occur. Event buses make it easier to build event-driven applications by facilitating event ingestion, delivery, security, authorization, and error handling.

This integration enables you to enhance your operational efficiency through automated responses to SaaS partner events. For example, government organizations using third-party partners for infrastructure and application monitoring can automatically trigger remediation actions when the partner detects performance anomalies or system alerts. This could include automatically scaling resources, creating incident tickets, or notifying operations teams through AWS services like AWS Lambda, or AWS Step Functions.

This feature is now available in AWS GovCloud (US-East) and AWS GovCloud (US-West) Regions. To get started with EventBridge partner integrations, visit the Amazon EventBridge Integration page or refer to the documentation for detailed implementation guidelines and best practices.

 

​Amazon EventBridge now supports Software-as-a-Service (SaaS) partner integrations in the AWS GovCloud (US) Regions, enabling government customers and organizations in regulated industries to build event-driven architectures that connect their AWS applications with supported third-party SaaS partners. With EventBridge partner integrations, customers can receive events from supported SaaS providers without writing custom code for API integration. Amazon EventBridge Event Bus is a serverless event router that enables you to create highly scalable event-driven applications by routing events between your own applications, third-party SaaS applications, and other AWS services. You can set up routing rules to determine where to send your events, allowing your application to react to changes in your systems as they occur. Event buses make it easier to build event-driven applications by facilitating event ingestion, delivery, security, authorization, and error handling. This integration enables you to enhance your operational efficiency through automated responses to SaaS partner events. For example, government organizations using third-party partners for infrastructure and application monitoring can automatically trigger remediation actions when the partner detects performance anomalies or system alerts. This could include automatically scaling resources, creating incident tickets, or notifying operations teams through AWS services like AWS Lambda, or AWS Step Functions. This feature is now available in AWS GovCloud (US-East) and AWS GovCloud (US-West) Regions. To get started with EventBridge partner integrations, visit the Amazon EventBridge Integration page or refer to the documentation for detailed implementation guidelines and best practices.  

Amazon Cognito is now available in the AWS Asia Pacific (Malaysia) Region. This launch introduces all Amazon Cognito features and tiers: Essentials, Lite, and Plus, allowing customers to use comprehensive and flexible authentication and access control features to implement secure, scalable, and customized sign-up and sign-in experiences for their application within minutes. Cognito allows customers to scale authentication to millions of users and supports sign-in with social identity providers such as Apple, Facebook, Google, and Amazon, and enterprise identity providers via standards such as SAML 2.0 and OpenID Connect.

For a full list of regions where Amazon Cognito is available, refer to the AWS Region Table. To learn more about Amazon Cognito, refer to:

• Developer Guide
• Product Detail Page
• Pricing Detail Page

 

​Amazon Cognito is now available in the AWS Asia Pacific (Malaysia) Region. This launch introduces all Amazon Cognito features and tiers: Essentials, Lite, and Plus, allowing customers to use comprehensive and flexible authentication and access control features to implement secure, scalable, and customized sign-up and sign-in experiences for their application within minutes. Cognito allows customers to scale authentication to millions of users and supports sign-in with social identity providers such as Apple, Facebook, Google, and Amazon, and enterprise identity providers via standards such as SAML 2.0 and OpenID Connect. For a full list of regions where Amazon Cognito is available, refer to the AWS Region Table. To learn more about Amazon Cognito, refer to:

Developer Guide
Product Detail Page
Pricing Detail Page  

Starting today, the Amazon EC2 G6e instances powered by NVIDIA L40S Tensor Core GPUs is now available in Asia Pacific(Seoul) Region. G6e instances can be used for a wide range of machine learning and spatial computing use cases.

Customers can use G6e instances to deploy large language models (LLMs) with up to 13B parameters and diffusion models for generating images, video, and audio. Additionally, the G6e instances will unlock customers’ ability to create larger, more immersive 3D simulations and digital twins for spatial computing workloads. G6e instances feature up to 8 NVIDIA L40S Tensor Core GPUs with 48 GB of memory per GPU and third generation AMD EPYC processors. They also support up to 192 vCPUs, up to 400 Gbps of network bandwidth, up to 1.536 TB of system memory, and up to 7.6 TB of local NVMe SSD storage. Developers can run AI inference workloads on G6e instances using AWS Deep Learning AMIs, AWS Deep Learning Containers, or managed services such as Amazon Elastic Kubernetes Service (Amazon EKS) ,AWS Batch, and Amazon SageMaker.

Amazon EC2 G6e instances are available today in the AWS US East (N. Virginia, Ohio), US West (Oregon), Asia Pacific (Tokyo, Seoul), and Europe (Frankfurt, Spain, Stockholm) Regions. Customers can purchase G6e instances as On-Demand Instances, Reserved Instances, Spot Instances, or as part of Savings Plans.

To get started, visit the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs. To learn more, visit the G6e instance page.

 

​Starting today, the Amazon EC2 G6e instances powered by NVIDIA L40S Tensor Core GPUs is now available in Asia Pacific(Seoul) Region. G6e instances can be used for a wide range of machine learning and spatial computing use cases. Customers can use G6e instances to deploy large language models (LLMs) with up to 13B parameters and diffusion models for generating images, video, and audio. Additionally, the G6e instances will unlock customers’ ability to create larger, more immersive 3D simulations and digital twins for spatial computing workloads. G6e instances feature up to 8 NVIDIA L40S Tensor Core GPUs with 48 GB of memory per GPU and third generation AMD EPYC processors. They also support up to 192 vCPUs, up to 400 Gbps of network bandwidth, up to 1.536 TB of system memory, and up to 7.6 TB of local NVMe SSD storage. Developers can run AI inference workloads on G6e instances using AWS Deep Learning AMIs, AWS Deep Learning Containers, or managed services such as Amazon Elastic Kubernetes Service (Amazon EKS) ,AWS Batch, and Amazon SageMaker. Amazon EC2 G6e instances are available today in the AWS US East (N. Virginia, Ohio), US West (Oregon), Asia Pacific (Tokyo, Seoul), and Europe (Frankfurt, Spain, Stockholm) Regions. Customers can purchase G6e instances as On-Demand Instances, Reserved Instances, Spot Instances, or as part of Savings Plans. To get started, visit the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs. To learn more, visit the G6e instance page.  

DeepSeek-R1 is now available as a fully managed, serverless model in Amazon Bedrock. AWS is the first cloud service provider to deliver DeepSeek-R1 as a fully managed, generally available model. You can power your applications with DeepSeek-R1’s capabilities through Amazon Bedrock’s fully managed service via a single API along with Amazon Bedrock’s tools, allowing your team to focus on building differentiated generative AI applications right away. By using Amazon Bedrock to deploy DeepSeek-R1, you also get seamless access to enterprise-grade security, monitoring, and cost-control features essential for deploying AI responsibly at scale, all while giving you complete control over your data.

DeepSeek-R1 is a publicly available model under MIT license that delivers exceptional accuracy and deep contextual understanding. DeepSeek-R1 combines powerful natural language processing with advanced reasoning capabilities, demonstrated by its leading performance in mathematics where it achieved 79.28% on AIME 2024, and software engineering where it achieved a 49.2% score on SWE-bench Verified. DeepSeek-R1 provides a cost-effective option for unlocking advanced AI reasoning capabilities efficiently, maximizing your technology investment. To help you deploy DeepSeek-R1 responsibly in production environments, Amazon Bedrock provides comprehensive and customizable safeguards through Amazon Bedrock Guardrails. This includes sensitive information filtering and customizable security controls—particularly valuable for organizations operating in regulated environments. We highly recommend integrating guardrails with your DeepSeek-R1 deployments to add robust protection for your generative AI applications.

DeepSeek-R1 is available fully managed in Amazon Bedrock in the US East (N. Virginia), US East (Ohio), and US West (Oregon) AWS Regions via cross-region inference. You can also use DeepSeek-R1 and its distilled variants via Amazon Bedrock Marketplace and Amazon Bedrock Custom Model Import. To learn more, visit the launch blog, DeepSeek on Amazon Bedrock product page, Amazon Bedrock pricing, and documentation. To get started with DeepSeek in Amazon Bedrock, visit the Amazon Bedrock console.

 

​DeepSeek-R1 is now available as a fully managed, serverless model in Amazon Bedrock. AWS is the first cloud service provider to deliver DeepSeek-R1 as a fully managed, generally available model. You can power your applications with DeepSeek-R1’s capabilities through Amazon Bedrock’s fully managed service via a single API along with Amazon Bedrock’s tools, allowing your team to focus on building differentiated generative AI applications right away. By using Amazon Bedrock to deploy DeepSeek-R1, you also get seamless access to enterprise-grade security, monitoring, and cost-control features essential for deploying AI responsibly at scale, all while giving you complete control over your data. DeepSeek-R1 is a publicly available model under MIT license that delivers exceptional accuracy and deep contextual understanding. DeepSeek-R1 combines powerful natural language processing with advanced reasoning capabilities, demonstrated by its leading performance in mathematics where it achieved 79.28% on AIME 2024, and software engineering where it achieved a 49.2% score on SWE-bench Verified. DeepSeek-R1 provides a cost-effective option for unlocking advanced AI reasoning capabilities efficiently, maximizing your technology investment. To help you deploy DeepSeek-R1 responsibly in production environments, Amazon Bedrock provides comprehensive and customizable safeguards through Amazon Bedrock Guardrails. This includes sensitive information filtering and customizable security controls—particularly valuable for organizations operating in regulated environments. We highly recommend integrating guardrails with your DeepSeek-R1 deployments to add robust protection for your generative AI applications. DeepSeek-R1 is available fully managed in Amazon Bedrock in the US East (N. Virginia), US East (Ohio), and US West (Oregon) AWS Regions via cross-region inference. You can also use DeepSeek-R1 and its distilled variants via Amazon Bedrock Marketplace and Amazon Bedrock Custom Model Import. To learn more, visit the launch blog, DeepSeek on Amazon Bedrock product page, Amazon Bedrock pricing, and documentation. To get started with DeepSeek in Amazon Bedrock, visit the Amazon Bedrock console.